Optimizing Cross-Battery Assessment Procedures For Reading-Based Specific Learning Disorder Diagnosis: A Monte Carlo Study
Date of Award
Master of Science (MS)
Department of Psychology
W. J. Schneider
Specific Learning Disorder is a disorder in which deficits in academic skills are caused by specific cognitive deficits. Cross-Battery Assessment (Flanagan, Alfonso, & Ortiz, 2013), is a popular method of diagnosing specific learning disorders. A recent study using data simulation methods claimed that cross-battery assessment was insufficiently accurate for clinical use (Stuebing, Fletcher, Branum-Martin, & Francis, 2012). However, the study used the general population base rate for specific learning disorders, resulting in misleadingly low accuracy estimates. The current study attempted to accurately simulate the cross-battery assessment method with a referred population prevalence to provide a fair analysis of cross-battery assessment’s diagnostic accuracy. Under the assumptions modeled, cross-battery assessment’s positive predictive value for specific learning disorder detection was between 71% and 93%, with negative predictive value between 43% to 80%. In addition, each additional testing phase adds increased diagnostic accuracy with diminishing returns.
Roman, Zachary Joseph, "Optimizing Cross-Battery Assessment Procedures For Reading-Based Specific Learning Disorder Diagnosis: A Monte Carlo Study" (2016). Theses and Dissertations. 630.
Imported from ProQuest Roman_ilstu_0092N_10836.pdf